Splits elements of a dataset into multiple elements on the batch dimension. (deprecated)
View aliases
Compat aliases for migration
See Migration guide for more details.
tf.data.experimental.unbatch()
For example, if elements of the dataset are shaped [B, a0, a1, ...]
,
where B
may vary for each input element, then for each element in the
dataset, the unbatched dataset will contain B
consecutive elements
of shape [a0, a1, ...]
.
# NOTE: The following example uses `{ ... }` to represent the contents
# of a dataset.
a = { ['a', 'b', 'c'], ['a', 'b'], ['a', 'b', 'c', 'd'] }
a.unbatch() == {
'a', 'b', 'c', 'a', 'b', 'a', 'b', 'c', 'd'}
Returns | |
---|---|
A Dataset transformation function, which can be passed to
tf.data.Dataset.apply .
|